Add Deep Learning (LSTM) + Quick Wins automation features

Major improvements:
- Deep Learning integration with PyTorch LSTM (dual models: main 1-50 + euro 1-12)
- Hybrid predictor: 40% RandomForest + 60% Deep Learning
- LaunchAgent for automatic weekly tip generation (Mon/Thu 21:00)
- Health-Check system with auto-recovery and Telegram alerts
- Fixed health checks for Eurojackpot-specific paths and file names
- Model caching and intelligent retraining logic
- Updated CSV data and generated tips
- Performance reports for recent draws

Technical details:
- PyTorch used instead of TensorFlow (Python 3.14 compatibility)
- Separate LSTM models for main numbers (1-50) and euro numbers (1-12)
- Apple Silicon MPS acceleration support
- Sequence learning with 20-draw history
- Health-check adapted for eurojackpot_ml_models/ and learning_log.json

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

data/learning_log.json

@@ -1,17 +1,30 @@
 {
   "updates": [
     {
-      "timestamp": "2025-11-25T18:29:29.814797",
-      "draw_date": "2012-03-23",
+      "timestamp": "2026-01-05T11:39:04.799509",
+      "draw_date": "2026-01-02",
       "evaluation": {
-        "main": 2,
-        "euro": 0,
-        "tip": 1
+        "main": 1,
+        "euro": 1,
+        "tip": 2
       },
       "avg_matches": {
         "main": 0.5,
         "euro": 0.3
       }
+    },
+    {
+      "timestamp": "2026-01-06T21:00:43.271197",
+      "draw_date": "2026-01-06",
+      "evaluation": {
+        "main": 0,
+        "euro": 1,
+        "tip": 3
+      },
+      "avg_matches": {
+        "main": 0.0,
+        "euro": 0.2
+      }
     }
   ]
 }